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JCB
2007
130views more  JCB 2007»
13 years 7 months ago
Bayesian Inference of MicroRNA Targets from Sequence and Expression Data
MicroRNAs (miRNAs) regulate a large proportion of mammalian genes by hybridizing to targeted messenger RNAs (mRNAs) and down-regulating their translation into protein. Although mu...
Jim C. Huang, Quaid Morris, Brendan J. Frey
ISMIR
2005
Springer
165views Music» more  ISMIR 2005»
14 years 1 months ago
Inferring Efficient Hierarchical Taxonomies for MIR Tasks: Application to Musical Instruments
A number of approaches for automatic audio classification are based on hierarchical taxonomies since it is acknowledged that improved performance can be thereby obtained. In this...
Slim Essid, Gaël Richard, Bertrand David
NIPS
2004
13 years 9 months ago
Harmonising Chorales by Probabilistic Inference
We describe how we used a data set of chorale harmonisations composed by Johann Sebastian Bach to train Hidden Markov Models. Using a probabilistic framework allows us to create a...
Moray Allan, Christopher K. I. Williams
IJCAI
1989
13 years 9 months ago
Using and Refining Simplifications: Explanation-Based Learning of Plans in Intractable Domains
This paper describes an explanation-based approach lo learning plans despite a computationally intractable domain theory. In this approach, the system learns an initial plan using...
Steve A. Chien
ECCC
2008
117views more  ECCC 2008»
13 years 7 months ago
The complexity of learning SUBSEQ(A)
Higman essentially showed that if A is any language then SUBSEQ(A) is regular, where SUBSEQ(A) is the language of all subsequences of strings in A. Let s1, s2, s3, . . . be the sta...
Stephen A. Fenner, William I. Gasarch, Brian Posto...